G. Mongillo

发表

Synaptic Theory of Working Memory

M. Tsodyks, O. Barak, G. Mongillo, 2008, Science.

Inhibitory connectivity defines the realm of excitatory plasticity

G. Mongillo, Y. Loewenstein, S. Rumpel, 2018, Nature Neuroscience.

Retrospective and prospective persistent activity induced by Hebbian learning in a recurrent cortical network

D. Amit, N. Brunel, G. Mongillo, 2003, The European journal of neuroscience.

On the Distribution of Firing Rates in Networks of Cortical Neurons

D. Hansel, C. van Vreeswijk, N. Brunel, 2011, The Journal of Neuroscience.

Intrinsic volatility of synaptic connections — a challenge to the synaptic trace theory of memory

G. Mongillo, Y. Loewenstein, S. Rumpel, 2017, Current Opinion in Neurobiology.

On the relationship between persistent delay activity, repetition enhancement and priming

Elisa M. Tartaglia, N. Brunel, G. Mongillo, 2015, Front. Psychol..

Mean-field analysis of selective persistent activity in presence of short-term synaptic depression

Daniel J. Amit, Sandro Romani, Gianluigi Mongillo, 2006, Journal of Computational Neuroscience.

Selective delay activity in the cortex: phenomena and interpretation.

Gianluigi Mongillo, Daniel J Amit, D. Amit, 2003, Cerebral cortex.

The Misbehavior of Reinforcement Learning

Yonatan Loewenstein, Gianluigi Mongillo, Hanan Shteingart, 2014, Proceedings of the IEEE.

The Misbehavior of Reinforcement Learning In this paper, the authors compare two separate approaches to operant learning in terms of computational power and flexibility, putative neural correlates, and the ability to account for human behavior as observed in repeated-choice experiments.

G. Mongillo, Y. Loewenstein, H. Shteingart, 2014 .

Modulation of Network Excitability by Persistent Activity: How Working Memory Affects the Response to Incoming Stimuli

Nicolas Brunel, Gianluigi Mongillo, Elisa M. Tartaglia, 2015, PLoS Comput. Biol..

Repetition suppression/enhancement effects as a result of attractor dynamics in local cortical networks

Elisa M. Tartaglia, N. Brunel, G. Mongillo, 2013, BMC Neuroscience.

Working Memory, Models of

Gianluigi Mongillo, G. Mongillo, 2014, Encyclopedia of Computational Neuroscience.

Mean Field and Capacity in Realistic Networks of Spiking Neurons Storing Sparsely Coded Random Memories

Daniel J. Amit, Gianluigi Mongillo, Giancarlo La Camera, 2004, Neural Computation.

Discrete confidence levels revealed by sequential decisions

Gianluigi Mongillo, Andrei Gorea, Matteo Lisi, 2017, bioRxiv.

Spike-Driven Synaptic Dynamics Generating Working Memory States

Daniel J. Amit, Gianluigi Mongillo, D. Amit, 2003, Neural Computation.

Discrete confidence levels revealed by sequential decisions

A. Gorea, G. Mongillo, Matteo Lisi, 2020, Nature Human Behaviour.

Quantifying Repetitive Transmission at Chemical Synapses: A Generative-Model Approach123

Gianluigi Mongillo, David Hansel, D. Hansel, 2016, eNeuro.

Working memory: somatic spikes or synaptic calcium?

M. Tsodyks, O. Barak, G. Mongillo, 2008 .

Online Learning with Hidden Markov Models

Gianluigi Mongillo, Sophie Denève, G. Mongillo, 2008, Neural Computation.

Learning in realistic networks of spiking neurons and spike‐driven plastic synapses

Sandro Romani, Gianluigi Mongillo, Daniel J Amit, 2005, The European journal of neuroscience.

Discrete confidence levels revealed by sequential decisions

Andrei Gorea, Tessa Dekker, Matteo Lisi, 2020, Nature Human Behaviour.

Bistability and spatiotemporal irregularity in neuronal networks with nonlinear synaptic transmission.

Gianluigi Mongillo, David Hansel, Carl van Vreeswijk, 2012, Physical review letters.

Neuroscience: Formation of a Percept in the Rat Cortex

G. Mongillo, Y. Loewenstein, 2017, Current Biology.

Neuroscience : Formationof aPercept in theRatCortex

G. Mongillo, Y. Loewenstein, 2017 .